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The ECPR Methods School offers a broad variety of courses that cater for the needs of researchers in political science and neighbouring disciplines. The Summer School offers five types of courses, each designed to complement the others thus providing a full and comprehensive package of tuition (a further 'Preparatory' short course is available at the Winter School only).
The Summer School programme starts with Short 3-day Intensive Refresher courses held on the 28, 29 and 30 July, followed by a choice of four different types of Main courses, each lasting five or 10 days which run from the 1 to 12 August.
You can choose from the following course / combinations:
See the Course Fees page for all course fees.
Class times: 10:00-12:00 and 14:00-17:00
The Intensive Refresher courses offering tools that will be useful for further courses. Typically it is software training, before taking a data analysis course.
Click on the individual course code below to go directly to the full details for that course.
SA101 | Introduction to SPSS |
SA102 | Introduction to the Use of R |
SA103 | Linear Algebra and Calculus: Mathematical Foundations for Social Science Statistics |
SA104 | A Refresher of Inferential Statistics for Political Scientists |
SA105 | Python Programming for Social Scientists: Web Data, Scraping and Other Useful Programming Tricks |
SA106 | Introduction to STATA |
SA107 | Introduction to NVivo for Qualitative Data Analysis |
SA111 | Introduction to Formal Logic |
SA112 | Gentle Introduction to Bayesian Statistics |
SA114 | Geospatial Technologies for the Social Studies |
SA115 | Introduction to Ethnography and Field Research |
Generally classes are either 09:00-12:30 or 14:00-17:30
Week-one courses: 1-5 August (15 hours / 3 hours per day)
Week-two courses: 8-12 August (15 hours / 3 hours per day)
Two-week courses: 1-5 August and 8-12 August (30 hours / 3 hours per day)
Please note to gain ECTS credits there may be an exam on the morning of Saturday 13 August (two-week courses only)
There are four types of Main course available at the Summer School, listed below. You can take one or two one-week courses or a two-week course on their own or combine them with one Short Intensive Refresher course (a package). Course packages offer a discounted rate compared to booking individually, please see the Course Fees page.
Click on the individual course code below for full course details.
Research design/fundamentals course: An ‘upstream’ course enabling you to think about your research more broadly, so you can make more informed choices about specific methods/techniques.
Data collection/generation course: A hands-on course focused on a specific method (or family of methods) for data collection or generation.
Data analysis course (introductory): A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to a level of well-informed use.
Data analysis course (advanced): A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to an expert level, including more recent refinements.
An ‘upstream’ course enabling you to think about your research more broadly, so you can make more informed choices about specific methods/techniques.
SB100 | Knowing and the Known: The Philosophy and Methodology of the Social Sciences |
SB101 | Research Designs |
SB102 | Case Study Research: Method and Practice |
SB103A | Process Tracing Methodology I – Foundations and Guidelines |
SB103B | Process Tracing Methodology II – Evidence and Empirical Testing in Practice |
SB104 | Qualitative Comparative Analysis and Fuzzy Sets |
SB105 | Mixed Methods Designs |
SB107A | Program Evaluation and Impact Assessment |
SB107B | Causal Inference in the Social Sciences |
SB108 | Introduction to Interpretive Research Designs |
SB110 | Longitudinal Case Studies |
A hands-on course focused on a specific method (or family of methods) for data collection or generation.
SC101 | Expert Interviews for Qualitative Data Generation |
SC102 | Field Research II: Issues in Political, Policy and Organizational Ethnography and Participant Observation |
A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to a level of well-informed use.
SD101A | Qualitative Data Analysis: Concepts and Approaches (week one) |
SD101B | Qualitative Data Analysis: Concepts and Approaches (week two) |
SD102A | Analysing Discourse – Analysing Politics: Theories, Methods and Applications Week I: Theories and Methods |
SD102B | Analysing Discourse – Analysing Politics: Theories, Methods and Applications Week II: Applications and In-Depth Studies |
SD103 | Content Analysis |
SD104 | Multi-Variate Statistical Analysis and Comparative Cross-National Surveys Data |
SD105 | Introduction to Regression Analysis |
SD106 | Intro to GLM: Binary, Ordered and Multinomial Logistic, and Count Regression Models |
SD110 | Applying the Narrative Policy Framework |
SD111 | Theoretically Informed Network Analysis for Social Scientists |
A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to an expert level, including more recent refinements.
SD202 | Event History and Survival Analysis |
SD203 | Applied Multilevel Regression Modelling |
SD206 | Introduction to Structural Equation Modelling |
SD207 | Advanced Topics in Applied Regression |
SD211 | Network Visualisation in GEPHI |
SD301 | Advanced Bayesian Statsitics for the Social Sciences |
SD306 | Multi-Level Structural Equation Modelling |